python Overview of Multilingual Embedding and its Algorithm and Implementation
Multilingual Embeddings
The following methods and approaches may be considered to address the challenges o...
python
python python Overview of Non-Negative Tensor Factorization (NTF), its algorithm and examples of implementation
Non-Negative Tensor Factorization (NTF) Overview
Non-Negative Tensor Factorization (NTF) is a method for obtai...
python Overview of Dynamic Graph Neural Networks (D-GNN) and examples of algorithms and implementations
Dynamic Graph Neural Networks（D-GNN）
Dynamic Graph Neural Networks (D-GNNs) are a type of graph neural n...
python Overview of the translation model and examples of algorithms and implementations
Translation Models in Machine Learning
Translation models in machine learning are widely used in the field...
python About SqueezeNet
Overview of SqueezeNet
SqueezeNet is a lightweight, compact deep learning model and architecture for convolut...
python Overview of the policy gradient method and examples of algorithms and implementations
Policy Gradient Methods
Policy Gradient Methods are a type of reinforcement learning that focuses specifica...
python About MobileNet
Overview of MobileNet
MobileNet is one of the most widely used deep learning models in computer vision, and i...
python Overview of Word Sense Disambiguation and Examples of Algorithms and Implementations
Overview of Word Sense Disambiguation
Word Sense Disambiguation (WSD) is one of the key challenges in the ...
python Overview of softmax functions and related algorithms and implementation examples
Overview of Softmax Functions
A softmax function is a function used to convert a vector of real numbers in...
python Overview of C51 (Categorical DQN), its algorithm and example implementations
Overview of C51 (Categorical DQN)
C51, or Categorical DQN, is a deep reinforcement learning algorithm that ...